THIRD BULLETIN - ACAT 2024
Stony Brook, Long Island NY, USA, 11-15 March 2024
ACAT2024 has put together a spectacular program of plenary talks! Abstract submission deadline was extended to January 31st 2024!
The conference registration is open and starts here.
Dear colleagues,
This is a reminder that the 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2024) will take place between Monday 11th and Friday, 15th March, 2024 at Stony Brook University, Stony Brook, Long Island NY, USA. We hope to see you there!
ACAT Theme - Future Paradigms: ACAT 2024 will reflect on the increasing adoption of AI, ML, and other techniques as standard tools in science and beyond, in a world that is increasingly conscious of the need for sustainability.
One key feature of ACAT 2024 is to start a discussion on tackling the challenging topic of AI/ML Ethics. We recognize the critical importance of ethical considerations in the deployment of AI and ML technologies across scientific disciplines. Distinguished University Professor of New Technologies, Professor Vincent Conitzer, will be opening this topic as a plenary followed by a panel discussion. We hope to move the needle forward on the path of fostering a deeper understanding of the ethical implications for scientific research.
To complement the plenary program, we invite you to submit abstracts for parallel talks and posters. We allow presenters to attend both in person or through a virtual platform, allowing for a wider and exciting conference experience.
IMPORTANT DATES
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Abstract submission is now open until January 31st 2024. Click here to submit your abstract. A detailed overview of the scientific program can be found here.
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Early registration deadline is January 31, 2024 - you must pay by that date to be eligible for early registration.
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Late registration is possible until February 21, 2024 for in-person attendees.
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Remote participation has a flat fee and will be accepted until March 10, 2024.
SCIENTIFIC PROGRAM
ACAT Workshops have plenary and parallel sessions during the five-day conference. The parallel sessions cover the following areas:
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Track 1: Computing Technology for Physics Research, including languages, paradigms, architectures, virtualization, networking and online computing.
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Track 2: Data Analysis - Algorithms and Tools, including machine learning, analysis techniques, simulation, reconstruction and visualization methods, and future ideas such as quantum computing.
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Track 3: Computations in Theoretical Physics: Techniques and Methods, including automatic systems, higher order calculations, computer algebra techniques, and theoretical and simulation aspects of computational physics.
ADDITIONAL INFORMATION
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